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For Mintel's Global Consumer research, we use an online research approach to interview 1,000 consumers covering age groups varying in range, depending on location, in each of our 36 locations around the world. Respondents are interviewed in regions and/or metro cities to represent the population distribution across each location for reporting.

In most places, we run our research twice a year. We ask the same questions in all 36 locations, in the respective local language. Exceptions are made where the question/statement could be deemed offensive in that market, or fall outside of social norms. While we do maintain a number of tracking questions to capture trends, there will be new questions asked on each wave of research to ensure that our findings remain relevant to global trends.

Mintel applies a quota-sampling approach with quotas on age, gender and broad region or metro city. Our sample data is not nationally representative within each location. Instead it can be considered to be representative of the online population in some locations and an urban online population in others, providing a proxy of each location’s behaviours and attitudes. Our online, quota-sampling approach provides comparable, statistically robust data and allows analysis of key demographic and geographic groups by location.

For Global Consumer, we partner with Kantar Profiles, Rakuten Insight, Dynata, KuRunData and Offerwise.

Keep reading for an overview of location-specific sampling structures and sampling sizes from consumer research done for Global Consumer.

Find more information on our research methods in this article and learn about our analysis techniques in this article.

💡 Tip: As a Global Consumer subscriber you can find Global Consumer data by clicking on Consumer Data in the top navigation on clients.mintel.com. On the Consumer Data website, tick the Comparative multi-market box in the left-hand menu to apply the filter. All Global Consumer Databooks are tagged with a green Multi-market study label.

A screenshot of Consumer Data search results showing a number of Global Consumer Databooks.

Asia-Pacific

The quotas on age and gender are selected in a consistent way per market to allow ease of comparison and analysis across a variety of key target groups.

Across Asia-Pacific, the sample for our global consumer surveys consists of 1,000 people per location. Of the respondents in Hong Kong, Indonesia, Republic of Korea, Malaysia, Philippines, Singapore, Thailand and Vietnam, 125 men and 125 women belong to each of the following age groups:

18-24
25-34
35-44
45+

Different age and gender quotas apply to Australia, China, India, Japan and New Zealand. Refer to the tables below to learn about the age and gender quotas for these locations, and how our samples are split geographically by cities/regions.

Australia

Age groups by gender	%	Min	Max
Men, 18-24	12.5	124	125
Men, 25-34	12.5	124	125
Men, 35-44	12.5	124	125
Men, 45+	12.5	124	125
Women, 18-24	12.5	124	125
Women, 25-34	12.5	124	125
Women, 35-44	12.5	124	125
Women, 45+	12.5	124	125
Other gender, any age		0	8

State/Territory	%	N (1,000)
New South Wales	31.3	313
Victoria	25.6	256
Queensland	20.5	205
South Australia	6.9	69
Western Australia	10.8	108
Others	4.9	49

China

Of 1,000 respondents, we survey 100 in each of the following cities:

Beijing
Shanghai
Guangzhou
Chengdu
Yantai
Changchun
Wenzhou
Fuzhou
Guiyang
Nanyang

In each of these cities, 17 men and 17 women belong to each of the following age groups:

18-29
30-39

16 men and 16 women per city belong to the 40-59 age group.

Of the 100 respondents per city, 1/3 each fall into the following monthly household income brackets:

6,000-9,999 RMB (low household income)
10,000-17,999 RMB (middle household income)
18k + (high household income)

Hong Kong, SAR of the PR of China

Area	%	N (1,000)
Hong Kong Island	15.7	157
Kowloon	29.8	298
New Territories East	25	250
New Territories West	29.5	295

India

In each of the four regions, we survey 125 men and 125 women. Find the split by age group below.

Region	Age	Men		Women
		N	%	N	%
North	18-24	37	3.7	37	3.7
	25-34	43	4.3	43	4.3
	35-44	28	2.8	28	2.8
	45+	17	1.7	17	1.7
South	18-24	37	3.7	37	3.7
	25-34	43	4.3	43	4.3
	35-44	28	2.8	28	2.8
	45+	17	1.7	17	1.7
East	18-24	37	3.7	37	3.7
	25-34	43	4.3	43	4.3
	35-44	28	2.8	28	2.8
	45+	17	1.7	17	1.7
West	18-24	37	3.7	37	3.7
	25-34	43	4.3	43	4.3
	35-44	28	2.8	28	2.8
	45+	17	1.7	17	1.7

The sampling structure by region and city tier mirrors the structure for India reports, but with a sample size of 1,000 instead of 3,000.

Indonesia

Region/City	%	N (1,000)
Jakarta	51.2	512
Bandung	15.8	158
Surabaya	11.7	117
Yogyakarta	10	100
Medan	10	100

Japan

Age groups by gender	Population %	N (1,000)
Men, 18-24	5	50
Men, 25-29	5	50
Men, 30-39	10	100
Men, 40-49	10	100
Men, 50-59	10	100
Men, 60-64	5	50
Men, 65+	5	50
Women, 18-24	5	50
Women, 25-29	5	50
Women, 30-39	10	100
Women, 40-49	10	100
Women, 50-59	10	100
Women, 60-64	5	50
Women, 65+	5	50

Region	%	N (1,000)
Hokkaido and Tohoku	10.8	108
Kanto	34.9	349
Chubu and Hokuriku	16.7	167
Kinki	17.7	177
Chugoku and Shikoku	8.6	86
Kyushu and Okinawa	11.3	113

Republic of Korea

Region/City	%	N (1,000)
Seoul	18.2	182
Gyeonggi (including Incheon but excluding Seoul)	32.3	323
Gyeongsang (including Busan, Daegu & Ulsan)	24.5	245
Chungcheong (including Daejeon & Sejong)	11	110
Jeolla (including Jeju & Gwangju)	11	110
Gangwon	3	30

Malaysia

Region	%	N (1,000)
Central	28.1	280
North	20.3	203
South	19	190
East coast	14	140
East Malaysia	18.7	187

New Zealand

Age groups by gender	%	Min	Max
Men, 18-24	12.5	124	125
Men, 25-34	12.5	124	125
Men, 35-44	12.5	124	125
Men, 45+	12.5	124	125
Women, 18-24	12.5	124	125
Women, 25-34	12.5	124	125
Women, 35-44	12.5	124	125
Women, 45+	12.5	124	125
Other gender, any age		0	8

Region/City	%	N (1,000)
Auckland	33.2	332
Canterbury	13	130
Wellington	10.4	104
Other	43.4	434

Philippines

Region/City	%	N (1,000)
Greater Manila Area	56.7	567
Metro Cebu	21.2	212
Metro Davao	22.1	221

Singapore

Area	%	N (1,000)
Central/South	23	230
North	14	140
East/North East	40	400
West	23	230

Thailand

Region/City	%	N (1,000)
Bangkok	8.3	83
Central Thailand (excluding Bangkok)	26.4	264
North Thailand	18.1	181
Northeast Thailand	32.8	328
South Thailand	14.4	144

Vietnam

Region	%	N (1,000)
Red River Delta	23.6	236
Northern midlands and mountain areas	13.1	131
North Central area and Central coastal area/Central Highlands	26.9	269
South East	18.9	189
Mekong River Delta	17.5	175

Europe, Middle East and Africa

Denmark

Age groups by gender	%	N (1,000)
Men, 16-24	6.7	67
Men, 25-34	8.3	83
Men, 35-44	7.2	72
Men, 45-54	8.2	82
Men, 55-64	8	80
Men, 65+	11.1	111
Women, 16-24	6.6	66
Women, 25-34	7.9	79
Women, 35-44	7.1	71
Women, 45-54	8.2	82
Women, 55-64	7.9	79
Women, 65+	12.8	128

Region	%	N (1,000)
Hovedstaden	31.9	319
Sjælland	14.5	145
Syddanmark	20.9	209
Midtjylland	22.6	226
Nordjylland	10.1	101

Finland

Age groups by gender	%	N (1,000)
Men, 16-24	6.4	64
Men, 25-34	8.2	82
Men, 35-44	8.2	82
Men, 45-54	7.5	75
Men, 55-64	7.8	78
Men, 65+	11.1	111
Women, 16-24	5.9	59
Women, 25-34	7.7	77
Women, 35-44	7.8	78
Women, 45-54	7.2	72
Women, 55-64	8	80
Women, 65+	14.2	142

Region	%	N (1,000)
West	25.5	255
South	51.9	519
North and East	22.6	226

France

Age groups by gender	%		N (1,000)
		Min	Max
Men, 16-24	7.5	74	75
Men, 25-34	7.8	77	78
Men, 35-44	8.3	82	83
Men, 45-54	8.4	83	84
Men, 55-64	7.4	73	74
Men, 65+	8.8	87	88
Women, 16-24	7.2	71	72
Women, 25-34	8	79	80
Women, 35-44	8.6	85	86
Women, 45-54	8.6	85	86
Women, 55-64	7.8	77	78
Women, 65+	11.6	115	116
Other gender, any age		0	12

Region	%	N (1,000)
Île de France	18.8	188
Centre-Val de Loire / Bourgogne-Franche-Comté	8.2	82
Normandie / Hauts-de-France	14	140
Grand Est	8.4	84
Pays de la Loire / Bretagne	11	110
Nouvelle-Aquitaine / Occitanie	18.7	187
Auvergne-Rhône-Alpes	12.5	125
Provence-Alpes-Côte d'Azur / Corse	8.4	84

Net monthly household income – soft quota	Minimum	Maximum
under 1,500 €	249	333
1,500 to 2,999 €	288	385
3,000 € or more	211	282
Prefer not to answer/don't know	0	252

Germany

Age groups by gender	%		N (1,000)
		Min	Max
Men, 16-24	5.9	58	59
Men, 25-34	8.3	82	83
Men, 35-44	7.9	78	79
Men, 45-54	8.1	80	81
Men, 55-64	9	89	90
Men, 65+	10.1	100	101
Women, 16-24	5.5	54	55
Women, 25-34	7.6	75	76
Women, 35-44	7.8	77	78
Women, 45-54	8	79	80
Women, 55-64	9.1	90	91
Women, 65+	12.7	126	127
Other gender, any age		0	12

Region	%	N (1,000)
Baden-Württemberg	13.4	134
Bayern	15.8	158
Berlin	4.4	44
Brandenburg	3	30
Bremen	0.9	9
Hamburg	2.2	22
Hessen	7.6	76
Mecklenburg-Vorpommern	1.9	19
Niedersachsen	9.6	96
Nordrhein-Westfalen	21.5	215
Rheinland-Pfalz	4.9	49
Saarland	1.3	13
Sachsen	4.9	49
Sachsen-Anhalt	2.6	26
Schleswig-Holstein	3.5	35
Thüringen	2.5	25

Net monthly household income – soft quota	Minimum	Maximum
under 1,500 €	301	364
1,500 to 2,999 €	329	397
3,000 € or more	198	239
Prefer not to answer/don't know	0	172

Great Britain

Age and gender	%		N (1,000)
		Min	Max
Men, 16-24	7	69	70
Men, 25-34	8.6	85	86
Men, 35-44	8.4	83	84
Men, 45-54	8.5	84	85
Men, 55-64	7.8	77	78
Men, 65-74	5.7	56	57
Men, 75+	3.3	32	33
Women, 16-24	6.8	67	68
Women, 25-34	9	89	90
Women, 35-44	8.7	86	87
Women, 45-54	8.7	86	87
Women, 55-64	8	79	80
Women, 65-74	5.9	58	59
Women, 75+	3.6	35	36

Region	%	N (1,000)
Scotland	8.6	86
North East	4.1	41
North West	11.4	114
Yorkshire & Humberside	8.4	84
East Midlands	7.5	75
West Midlands	9	90
East	9.6	96
Greater London	13.6	136
South East	14.2	142
South West	8.8	88
Wales	4.8	48

Socio-economic grade	%	N (1,000)
A, B	26	260
C1	36	360
C2	19	190
D, E	19	190

📌 Note: The socio-economic grades are defined as follows.

A: high managerial, administrative or professional
B: intermediate managerial, administrative or professional
C1: supervisor, clerical, junior managerial, administrative or professional
C2: skilled manual worker
D: semi-skilled or unskilled manual worker
E: unemployed

Ireland

Age groups by gender	Northern Ireland			Republic of Ireland
	%		N (325)	%		N (675)
		Min	Max		Min	Max
Men, 16-24	7.9	25	26	8.1	54	55
Men, 25-34	9.3	29	30	8.8	58	59
Men, 35-44	8.8	28	29	11	73	74
Men, 45-54	9.3	29	30	8.9	59	60
Men, 55+	13.7	44	45	12.3	82	83
Women, 16-24	7.4	23	24	7.9	52	53
Women, 25-34	9.4	30	31	9.1	60	61
Women, 35-44	9.3	29	30	11.5	77	78
Women, 45-54	9.8	31	32	8.9	59	60
Women, 55+	15.1	47	48	13.5	91	92
Other gender, any age		0	10		0	10

Region (ROI only)	%	N (675)
City of Dublin	28.9	195
Munster	24.3	164
Leinster (excluding city of Dublin)	29.1	197
Connacht	9.5	64
Ulster (excluding Northern Ireland counties)	8.2	55

Socio-economic group	Northern Ireland		Republic of Ireland
	%	N (325)	%	N (675)
ABC1	55	179	57	385
C2DEF	45	146	43	290

Italy

Age groups by gender	%		N (1,000)
		Min	Max
Men, 16-24	6.4	63	64
Men, 25-34	7.2	71	72
Men, 35-44	8.2	81	82
Men, 45-54	10.1	100	101
Men, 55-64	8.5	84	85
Men, 65+	8.5	84	85
Women, 16-24	5.9	58	59
Women, 25-34	6.9	68	69
Women, 35-44	8	79	80
Women, 45-54	10.4	103	104
Women, 55-64	9	89	90
Women, 65+	10.9	108	109
Other gender, any age		0	12

Region	%	N (1,000)
Nord-Ovest	26.9	269
Sud	22.9	229
Isole	10.8	108
Nord-Est	19.5	195
Centro	19.9	199

Net monthly household income – soft quota	Minimum	Maximum
under 1,500 €	325	419
1,500 to 2,999 €	317	409
3,000 € or more	134	172
Prefer not to answer/don't know	0	224

Netherlands

Age groups by gender	%	N (1,000)
Men, 16-24	7	70
Men, 25-34	7.9	79
Men, 35-44	7.3	73
Men, 45-54	8.1	81
Men, 55-64	8.3	83
Men, 65+	10.9	109
Women, 16-24	6.7	67
Women, 25-34	7.7	77
Women, 35-44	7.2	72
Women, 45-54	8.1	81
Women, 55-64	8.4	84
Women, 65+	12.4	124

Region	%	N (1,000)
North	10	100
East	20.9	209
West	47.6	476
South	21.5	215

Nigeria

Of 1,000 respondents, we survey 125 men and 125 in each of the following age groups:

18-24
25-35
35-44
45+

Region	%	N (1,000)
North (Central, East, West)	55.8	558
South East	10.9	109
South South	14	140
Lagos & South West	19.3	193

Norway

Age groups by gender	%	N (1,000)
Men, 16-24	6.8	68
Men, 25-34	8.7	87
Men, 35-44	8.2	82
Men, 45-54	8.5	85
Men, 55-64	7.5	75
Men, 65+	10.5	105
Women, 16-24	6.4	64
Women, 25-34	8.3	83
Women, 35-44	8	80
Women, 45-54	8.2	82
Women, 55-64	7.3	73
Women, 65+	11.6	116

Region	%	N (1,000)
Innlandet	6.9	69
Trøndelag og Nord-Norge	17.5	175
Oslo og Viken	36.5	365
Agder og Sør-Østlandet	13.6	136
Vestlandet	25.5	255

Poland

Age groups by gender	%		N (1,000)
		Min	Max
Men, 16-24	6.4	62	63
Men, 25-34	9.7	96	97
Men, 35-44	11.4	113	114
Men, 45-54	8.7	86	87
Men, 55-64	6.8	67	68
Men, 65+	5.8	57	58
Women, 16-24	6.1	60	61
Women, 25-34	9.2	91	92
Women, 35-44	11.1	110	111
Women, 45-54	8.6	85	86
Women, 55-64	7.4	73	74
Women, 65+	8.9	88	89
Other gender, any age		0	12

Region	%	N (1,000)
Makroregion Centralny	9.7	97
Województwo Mazowieckie	14.2	142
Makroregion Południowy	20.5	205
Makroregion Wschodni	14.2	142
Makroregion Północno-Zachodni	16.2	162
Makroregion Południowo-Zachodni	10.1	101
Makroregion Północny	15.1	151

Net monthly household income – soft quota	Minimum	Maximum
under 3,000 zł	344	415
3,000 to 4,999 zł	274	331
5,000 zł or more	211	254
Prefer not to answer/don't know	0	171

Saudi Arabia

Of 1,000 respondents, we survey 125 men and 125 in each of the following age groups:

18-24
25-35
35-44
45+

574 respondents are Saudi nationals, while 426 are non-Saudi nationals.

Region	%	N (1,000)
Najid Region (Al-Riyadh, Al-Qaseem and Ha’il)	33.2	332
Hijaz Region (Al-Baha, Al-Madinah Al-Monawarah, Makkah Al-Mokarramah and Tabouk)	35.4	354
Other (Al-Jouf, Aseer, Eastern Region, Jazan, Najran and Northern Borders)	31.4	314

South Africa

Of 1,000 respondents, we survey 125 men and 125 in each of the following age groups:

18-24
25-35
35-44
45+

Region	%	N (1,000)
Eastern Cape	11.7	117
Northern Cape, North West & Free State	13.1	131
Gauteng	24.3	243
Kwazulu-Natal	20	200
Limpopo & Mpumalanga	18.9	189
Western Cape	12	120

Spain

Age groups by gender	%		N (1,000)
		Min	Max
Men, 16-24	6.2	61	62
Men, 25-34	7.1	70	71
Men, 35-44	9.1	90	91
Men, 45-54	10.1	100	101
Men, 55-64	8	79	80
Men, 65+	8.5	84	85
Women, 16-24	5.7	56	57
Women, 25-34	7	69	70
Women, 35-44	9.1	90	91
Women, 45-54	10	99	100
Women, 55-64	8.2	81	82
Women, 65+	11	109	110
Other gender, any age		0	12

Region	%	N (1,000)
Noroeste	9.2	92
Noreste	9.5	95
Comunidad de Madrid	14.2	142
Centro	11.6	116
Este	29.3	293
Sur	21.3	213
Canarias	4.9	49

Net monthly household income – soft quota	Minimum	Maximum
under 1,500 €	395	485
1,500 to 2,999 €	303	372
3,000 € or more	116	143
Prefer not to answer/don't know	0	186

Sweden

Age groups by gender	%	N (1,000)
Men, 16-24	6.6	66
Men, 25-34	8.9	89
Men, 35-44	8	80
Men, 45-54	8	80
Men, 55-64	7.5	75
Men, 65+	11.3	113
Women, 16-24	5.9	59
Women, 25-34	8.3	83
Women, 35-44	7.7	77
Women, 45-54	7.8	78
Women, 55-64	7.3	73
Women, 65+	12.7	127

Region	%	N (1,000)
North and Middle	17.1	171
Stockholm and East	39.7	397
West	19.8	198
South East	8.4	84
South	15	150

Americas

📌 Note: Quotas in the Americas are representative of the online population in each location.

Argentina

Age groups by gender	%		N (1,000)
		Min	Max
Men, 18-24	12.71	126	127
Men, 25-34	12.44	123	124
Men, 35-44	11.08	110	111
Men, 45-54	9.05	89	90
Men, 55+	4.15	41	42
Women, 18-24	12.18	121	122
Women, 25-34	12.34	122	123
Women, 35-44	11.3	112	113
Women, 45-54	9.48	94	95
Women, 55+	5.26	52	53
Other gender, any age		0	10

Region	%		N (1,000)
		Min	Max
Buenos Aires (provincia & ciudad)	44.99	405	495
North	23.77	214	262
Central	25.62	230	282
South	5.62	51	61

Brazil

Age groups by gender	%		N (1,000)
		Min	Max
Men, 16-24	10.78	107	108
Men, 25-34	11.57	114	115
Men, 35-44	11.05	110	111
Men, 45-54	8.41	83	84
Men, 55+	7.1	70	71
Women, 16-24	10.59	105	106
Women, 25-34	11.56	115	116
Women, 35-44	11.31	112	113
Women, 45-54	8.91	88	89
Women, 55+	8.72	86	87
Other gender, any age		0	10

Region	%		N (1,000)
		Min	Max
North	8.73	78	96
Northeast	27.11	244	298
Central West	8.26	75	91
Southeast	41.76	375	459
South	14.15	128	156

Socio-economic group	%	N (1,000)
A	3.3	33
B1	5.6	56
B2	18.5	185
C1	21.5	215
C2	27.1	271
DE	24	240

Canada

Age groups by gender	%		N (1,000)
		Min	Max
Men, 18-24	6.9	68	69
Men, 25-34	8.1	80	81
Men, 35-44	9.6	95	96
Men, 45-54	7.7	77	78
Men, 55-64	8.1	80	81
Men, 65+	9.1	90	91
Women, 18-24	4.8	47	48
Women, 25-34	7.9	78	79
Women, 35-44	9.2	91	92
Women, 45-54	6.7	66	67
Women, 55-64	8.4	84	85
Women, 65+	13.3	132	133
Other gender, any age		0	12

Province	%		N (1,000)
		Min	Max
Ontario	39.5	356	435
Quebec	21.7	195	239
British Columbia	14.1	127	155
Alberta	11.6	104	128
Saskatchewan	3.2	29	35
Manitoba	3.6	33	40
Atlantic Provinces (New Brunswick, Newfoundland / Labrador, Nova Scotia, Prince Edward Island)	6.2	56	68

Household income	%		N (1,000)
		Min	Max
Less than $25,000	9	81	100
$25,000 - $49,999	17.96	162	198
$50,000 - $69,999	14.29	129	157
$70,000 - $99,999	18.39	166	202
$100,000 and over	40.37	362	443

📌 Note: The numbers for province and household income are soft quotas (have to be within a +/- 10% deviation margin).

Chile

Age groups by gender	%		N (1,000)
		Min	Max
Men, 18-24	10.47	104	105
Men, 25-34	13.25	132	133
Men, 35-44	11.53	114	115
Men, 45-54	9.94	98	99
Men, 55+	4.73	46	47
Women, 18-24	10.14	100	101
Women, 25-34	12.88	128	129
Women, 35-44	11.31	112	113
Women, 45-54	10.11	100	101
Women, 55+	5.63	56	57
Other gender, any age		0	10

Region	%		N (1,000)
		Min	Max
Metropolitana SGO	45.02	405	495
Central	34.39	310	378
Norte	6.39	57	71
Sur	14.19	128	156

Colombia

Age groups by gender	%		N (1,000)
		Min	Max
Men, 18-24	14.26	142	143
Men, 25-34	13.66	136	137
Men, 35-44	9.3	92	93
Men, 45-54	7.49	74	75
Men, 55+	4.11	40	41
Women, 18-24	13.91	138	139
Women, 25-34	13.93	138	139
Women, 35-44	9.92	98	99
Women, 45-54	8.45	83	84
Women, 55+	4.97	49	50
Other gender, any age		0	10

Region	%		N (1,000)
		Min	Max
Atlantica/Caribe	23.12	208	254
Central	24.26	219	267
Oriental	20.78	187	229
Pacifica	16.48	148	182
Bogota	15.35	138	168

Mexico

Age groups by gender	%		N (1,000)
		Min	Max
Men, 18-24	13.91	138	139
Men, 25-34	12.29	122	123
Men, 35-44	10.13	100	101
Men, 45-54	8.62	85	86
Men, 55+	3.53	34	35
Women, 18-24	13.87	138	139
Women, 25-34	13.12	130	131
Women, 35-44	11.02	109	110
Women, 45-54	9.46	94	95
Women, 55+	4.05	40	41
Other gender, any age		0	10

Region	%		N (1,000)
		Min	Max
Circunscripción 1	20.39	184	224
Circunscripción 2	21.32	192	234
Circunscripción 3	20.04	180	220
Circunscripción 4	17.97	162	198
Circunscripción 5	20.28	182	224

📌 Note: These regions are based on electoral boundaries.

Peru

Age groups by gender	%	N (1,000)
Men, 16-24	12.44	124
Men, 25-34	13.22	132
Men, 35-44	11.07	111
Men, 45-54	8.67	87
Men, 55+	4.05	41
Women, 16-24	13.23	132
Women, 25-34	13.61	136
Women, 35-44	10.67	107
Women, 45-54	8.7	87
Women, 55+	4.34	43

Region	%		N (1,000)
		Min	Max
Lima Metropolitana	35.62	320	392
Non-Lima Metro	64.38	580	708

United States

Age groups by gender	%		N (1,000)
		Min	Max
Men, 18-24	5.65	56	57
Men, 25-34	8.89	88	89
Men, 35-44	8.33	82	83
Men, 45-54	7.71	76	77
Men, 55-64	7.96	79	80
Men, 65-74	6	59	60
Men, 75+	3.81	37	38
Women, 18-24	5.65	55	56
Women, 25-34	8.89	88	89
Women, 35-44	8.47	84	85
Women, 45-54	8.1	80	81
Women, 55-64	8.61	85	86
Women, 65-74	7	69	70
Women, 75+	4.92	48	49
Other gender, any age		0	14

Region	%		N (1,000)
		Min	Max
Northeast	17.53	158	193
Midwest	20.71	186	228
South	38.34	345	421
West	23.43	212	259

Household income	%		N (1,000)
		Min	Max
Less than $25,000	15.12	136	166
$25,000 - $49,999	13.5	122	149
$50,000 - $74,999	16.31	147	179
$75,000 - $99,999	13.21	119	145
$100,000 and over	41.86	377	461

📌 Note: The numbers for region and household income are soft quotas (have to be within a +/- 10% deviation margin).

Race/ethnicity	%	N (1,000)
White	-	-
Black	15	150
Hispanic	20	200
Asian	6.8	68
Other	-	-

📌 Note: The numbers for race/ethnicity are minimum quotas (must hit at least this threshold, but okay if it exceeds).